Title :
Satellite image enhancement using discrete wavelet transform and threshold decomposition driven morphological filter
Author :
Thriveni, R. ; Ramashri
Author_Institution :
ECE Dept., ACE, Madanapalle, India
Abstract :
Satellite color images are being used in many fields of research. One of the major issues of these types of color images are their poor perception. In this letter a new method to enhance the satellite image which using the concept of wavelets and threshold decomposition. The proposed enhancement technique uses DWT to decomposed input image into different sub bands. Threshold decomposition is a powerful theoretical tool, which is used in nonlinear image analysis. Detecting the positions of the edges through threshold decomposition and these edges are sharpened by using morphological filters. This method will give better qualitative and quantitative results.
Keywords :
discrete wavelet transforms; edge detection; filtering theory; geophysical image processing; image enhancement; image segmentation; DWT; color images; discrete wavelet transform; edge detection; input image; nonlinear image analysis; satellite image enhancement; threshold decomposition driven morphological filter; Computers; Discrete wavelet transforms; Image edge detection; Image enhancement; PSNR; Satellites; Discrete wavelet transforms (DWT); Morphological filter; Satellite image enhancement; Threshold decomposition;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-2906-4
DOI :
10.1109/ICCCI.2013.6466114